app.py

import gradio as gr
import os
import time
from crewai import Agent, Task, Crew
from langchain_openai import ChatOpenAI

# Secure API key entry
os.getenv("OPENAI_API_KEY")  # Enter your OpenAI API key

def analyze_scam(message_content):
    if not message_content.strip():
        return "❗ Please enter a message or URL to analyze."
    
    loading_messages = [
        "🛡️ Initializing AI security team...",
        "🔍 Claim Extractor analyzing suspicious content...",
        "⚖️ Fact Checker verifying claims and patterns...",
        "📋 Safety Advisor preparing guidance report...",
        "🚨 Generating comprehensive scam analysis..."
    ]
    
    yield loading_messages[0]
    
    try:
        llm = ChatOpenAI(model_name="gpt-4o-mini", temperature=0.1)

        for i, message in enumerate(loading_messages[1:], 1):
            time.sleep(2)
            yield message

        extractor_agent = Agent(
            role="Claim Extractor",
            goal="Extract key claims, offers, and suspicious elements from messages or URLs",
            backstory="Expert at parsing and identifying key claims in potentially fraudulent messages.",
            llm=llm,
            verbose=False
        )

        verifier_agent = Agent(
            role="Fact Checker", 
            goal="Verify claims and assess scam probability using heuristic rules and pattern matching",
            backstory="Cybersecurity expert who specializes in identifying scam patterns.",
            llm=llm,
            verbose=False
        )

        explainer_agent = Agent(
            role="Safety Advisor",
            goal="Provide clear, actionable guidance to users about potential scams",
            backstory="Digital safety educator who explains complex security issues simply.",
            llm=llm,
            verbose=False
        )

        extract_task = Task(
            description=f"Analyze and extract suspicious elements from: {message_content}",
            expected_output="Structured summary of extracted claims, suspicious elements, and language patterns",
            agent=extractor_agent
        )

        verify_task = Task(
            description="Risk assessment with scam probability score, red flags, and evidence",
            expected_output="Risk assessment with scam probability score, red flags, and evidence",
            agent=verifier_agent,
            context=[extract_task]
        )

        explain_task = Task(
            description="User-friendly safety report with clear recommendations and next steps",
            expected_output="User-friendly safety report with clear recommendations and next steps",
            agent=explainer_agent,
            context=[extract_task, verify_task]
        )

        crew = Crew(
            agents=[extractor_agent, verifier_agent, explainer_agent],
            tasks=[extract_task, verify_task, explain_task],
            verbose=False,
            process="sequential"
        )

        yield "🎯 AI agents collaborating on final analysis..."
        
        result = crew.kickoff()
        yield str(result)

    except Exception as e:
        yield f"❌ Scam analysis failed: {str(e)}"

def create_gradio_interface():
    with gr.Blocks(title="Scam-Signal Verifier | AI Security Analysis", theme=gr.themes.Default()) as interface:
        
        # Custom CSS for better contrast
        gr.HTML("""
        <style>
            .team-section { background: #f8f9fa; padding: 2rem; border-radius: 15px; margin-bottom: 2rem; }
            .team-title { text-align: center; margin-bottom: 1.5rem; font-size: 1.4rem; font-weight: bold; color: #1f2937; }
            .team-role { font-weight: bold; color: #111827; }
            .team-desc { font-size: 0.9rem; color: #374151; margin-top: 0.5rem; }
        </style>
        """)

        # Header
        gr.HTML("""
            <div style="text-align: center; padding: 2rem 0;">
                <h1 style="font-size: 3rem; margin-bottom: 1rem; color: #111827;">🛡️ Scam-Signal Verifier</h1>
                <p style="font-size: 1.2rem; color: #4b5563;">
                    AI-powered protection against phishing and fraudulent messages
                </p>
            </div>
        """)

        # AI Security Team
        gr.HTML("""
            <div class="team-section">
                <div class="team-title">🤖 Your AI Security Team</div>
                <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 1rem;">
                    <div style="text-align: center; padding: 1rem;">
                        <div style="font-size: 2rem;">🔍</div>
                        <div class="team-role">Claim Extractor</div>
                        <div class="team-desc">Identifies suspicious content and claims</div>
                    </div>
                    <div style="text-align: center; padding: 1rem;">
                        <div style="font-size: 2rem;">⚖️</div>
                        <div class="team-role">Fact Checker</div>
                        <div class="team-desc">Verifies claims and calculates risk</div>
                    </div>
                    <div style="text-align: center; padding: 1rem;">
                        <div style="font-size: 2rem;">📋</div>
                        <div class="team-role">Safety Advisor</div>
                        <div class="team-desc">Provides clear guidance and next steps</div>
                    </div>
                </div>
            </div>
        """)

        # Input Section
        gr.HTML("<h3 style='text-align: center; margin-bottom: 1rem;'>📱 Analyze Suspicious Message or URL</h3>")
        
        message_input = gr.Textbox(
            label="🚨 Suspicious Message or URL",
            placeholder="Paste the suspicious message, email content, or URL you want to verify...",
            lines=5
        )
        
        analyze_btn = gr.Button("🔍 Analyze for Scams", variant="primary", size="lg")

        # Output Section — restored to original
        output = gr.Textbox(
            label="📊 Scam Analysis Report",
            lines=25,
            show_copy_button=True,
            placeholder="Your detailed scam analysis will appear here..."
        )

        # Examples
        gr.Examples(
            examples=[
                ["URGENT: Your account will be suspended! Click here immediately to verify: http://suspicious-bank-verify.tk/login"],
                ["Congratulations! You've won $10,000! Claim your prize now by clicking this link and entering your bank details."],
                ["Your package is held at customs. Pay $50 shipping fee to release: https://bit.ly/customs-fee-pay"],
                ["FINAL NOTICE: IRS requires immediate payment of $2,500 or face legal action. Call now: 555-SCAM"],
                ["Hello dear, I am Prince Williams from Nigeria with $10 million to share with you..."],
            ],
            inputs=message_input,
            label="🧪 Try These Example Scams"
        )

        # Footer
        gr.HTML("""
            <div style="text-align: center; padding: 2rem; margin-top: 2rem; border-top: 1px solid #eee;">
                <p><strong>Scam-Signal Verifier</strong> • AI-Powered Fraud Detection</p>
                <p style="font-size: 0.9rem; color: #666;">
                    ⚠️ This tool helps identify potential scams but is not 100% accurate. Always verify independently.
                </p>
            </div>
        """)

        # Event Handlers
        analyze_btn.click(fn=analyze_scam, inputs=[message_input], outputs=output, show_progress=True)
        message_input.submit(fn=analyze_scam, inputs=[message_input], outputs=output, show_progress=True)
    
    return interface

if __name__ == "__main__":
    app = create_gradio_interface()
    app.launch(share=False, server_name="0.0.0.0", server_port=7860, show_api=False, inbrowser=False)